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Li Y, Zhang Y, Guo Z, Hou P, Lv J, Ke M, Liu S, Li S, Yin W, He J, Wang X. [ 18F]FAPI adds value to [ 18F]FDG PET/CT for diagnosing lymph node metastases in stage I-IIIA non-small cell lung cancer: a prospective study. Cancer Imaging 2024; 24:68. [PMID: 38831354 PMCID: PMC11145785 DOI: 10.1186/s40644-024-00701-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 04/27/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND This study investigates the value of fluorine 18 ([18F])-labeled fibroblast activation protein inhibitor (FAPI) for lymph node (LN) metastases in patients with stage I-IIIA non-small cell lung cancer (NSCLC). METHODS From November 2021 to October 2022, 53 patients with stage I-IIIA NSCLC who underwent radical resection were prospectively included. [18F]-fluorodeoxyglucose (FDG) and [18F]FAPI examinations were performed within one week. LN staging was validated using surgical and pathological findings. [18F]FDG and [18F]FAPI uptake was compared using the Wilcoxon signed-ranks test. Furthermore, the diagnostic value of nodal groups was investigated. RESULTS In 53 patients (median age, 64 years, range: 31-76 years), the specificity of [18F]FAPI for detecting LN metastasis was significantly higher than that of [18F]FDG (P < 0.001). High LN risk category, greater LN short-axis dimension(≥ 1.0 cm), absence of LN calcification or high-attenuation, and higher LN FDG SUVmax (≥ 10.1) were risk factors for LN metastasis(P < 0.05). The concurrence of these four risk factors accurately predicted LN metastases (Positive Predictive Value [PPV] 100%), whereas the presence of one to three risk factors was unable to accurately discriminate the nature of LNs (PPV 21.7%). Adding [18F]FAPI in this circumstance improved the diagnostic value. LNs with an [18F]FAPI SUVmax<6.2 were diagnosed as benign (Negative Predictive Value 93.8%), and LNs with an [18F]FAPI SUVmax≥6.2 without calcification or high-attenuation were diagnosed as LN metastasis (PPV 87.5%). Ultimately, the integration of [18F]FDG and [18F]FAPI PET/CT resulted in the highest accuracy for N stage (83.0%) and clinical decision revisions for 29 patients. CONCLUSION In patients with stage I-IIIA NSCLC, [18F]FAPI contributed additional valuable information to reduce LN diagnostic uncertainties after [18F]FDG PET/CT. Integrating [18F]FDG and [18F]FAPI PET/CT resulted in more precise clinical decisions. TRIAL REGISTRATION The Chinese Clinical Trial Registry: ChiCTR2100044944 (Registered: 1 April 2021, https://www.chictr.org.cn/showprojEN.html?proj=123995 ).
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Affiliation(s)
- Youcai Li
- Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China
| | - Yin Zhang
- Nanfang PET Center, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong Province, China
| | - Zhihua Guo
- Department of Thoracic Surgery, Guangzhou Institute of Respiratory Health & China State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Peng Hou
- Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China
| | - Jie Lv
- Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China
| | - Miao Ke
- Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China
| | - Shaoyu Liu
- Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China
| | - Siwen Li
- Guangzhou Medical University, Guangzhou, China
| | - Weiqiang Yin
- Department of Thoracic Surgery, Guangzhou Institute of Respiratory Health & China State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jianxing He
- Department of Thoracic Surgery, Guangzhou Institute of Respiratory Health & China State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Xinlu Wang
- Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China.
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Shields AF, Chen DL. Positron Emission Tomography Imaging of Tumor Proliferation and DNA Repair. Cancer J 2024; 30:170-175. [PMID: 38753751 DOI: 10.1097/ppo.0000000000000724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
ABSTRACT Positron emission tomography (PET) is an established tool for molecular imaging of cancers, and its role in diagnosis, staging, and phenotyping continues to evolve and expand rapidly. PET imaging of increased glucose utilization with 18F-fluorodeoxyglucose is now entrenched in clinical oncology practice for improving prognostication and treatment response assessment. Additional critical processes for cancer cell survival can also be imaged by PET, helping to inform individualized treatment selections for patients by improving our understanding of cell survival mechanisms and identifying relevant active mechanisms in each patient. The critical importance of quantifying cell proliferation and DNA repair pathways for prognosis and treatment selection is highlighted by the nearly ubiquitous use of the Ki-67 index, an established histological quantitative measure of cell proliferation, and BRCA mutation testing for treatment selection. This review focuses on PET advances in imaging and quantifying cell proliferation and poly(ADP-ribose)polymerase expression that can be used to complement cancer phenotyping approaches that will identify the most effective treatments for each individual patient.
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Affiliation(s)
- Anthony F Shields
- From the Karmanos Cancer Institute, Wayne State University, Detroit, MI
| | - Delphine L Chen
- University of Washington, Fred Hutchinson Cancer Center, Seattle, WA
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3
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Madani MH, Riess JW, Brown LM, Cooke DT, Guo HH. Imaging of lung cancer. Curr Probl Cancer 2023:100966. [PMID: 37316337 DOI: 10.1016/j.currproblcancer.2023.100966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/29/2023] [Accepted: 05/23/2023] [Indexed: 06/16/2023]
Abstract
Lung cancer is the leading cause of cancer-related mortality globally. Imaging is essential in the screening, diagnosis, staging, response assessment, and surveillance of patients with lung cancer. Subtypes of lung cancer can have distinguishing imaging appearances. The most frequently used imaging modalities include chest radiography, computed tomography, magnetic resonance imaging, and positron emission tomography. Artificial intelligence algorithms and radiomics are emerging technologies with potential applications in lung cancer imaging.
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Affiliation(s)
- Mohammad H Madani
- Department of Radiology, University of California, Davis, Sacramento, CA.
| | - Jonathan W Riess
- Division of Hematology/Oncology, Department of Internal Medicine, UC Davis Medical Center, UC Davis Comprehensive Cancer Center, Sacramento, CA
| | - Lisa M Brown
- Division of General Thoracic Surgery, Department of Surgery, UC Davis Health, Sacramento, CA
| | - David T Cooke
- Division of General Thoracic Surgery, Department of Surgery, UC Davis Health, Sacramento, CA
| | - H Henry Guo
- Department of Radiology, Stanford University School of Medicine, Stanford, CA
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Funeh CN, Bridoux J, Ertveldt T, De Groof TWM, Chigoho DM, Asiabi P, Covens P, D'Huyvetter M, Devoogdt N. Optimizing the Safety and Efficacy of Bio-Radiopharmaceuticals for Cancer Therapy. Pharmaceutics 2023; 15:pharmaceutics15051378. [PMID: 37242621 DOI: 10.3390/pharmaceutics15051378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/20/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
The precise delivery of cytotoxic radiation to cancer cells through the combination of a specific targeting vector with a radionuclide for targeted radionuclide therapy (TRT) has proven valuable for cancer care. TRT is increasingly being considered a relevant treatment method in fighting micro-metastases in the case of relapsed and disseminated disease. While antibodies were the first vectors applied in TRT, increasing research data has cited antibody fragments and peptides with superior properties and thus a growing interest in application. As further studies are completed and the need for novel radiopharmaceuticals nurtures, rigorous considerations in the design, laboratory analysis, pre-clinical evaluation, and clinical translation must be considered to ensure improved safety and effectiveness. Here, we assess the status and recent development of biological-based radiopharmaceuticals, with a focus on peptides and antibody fragments. Challenges in radiopharmaceutical design range from target selection, vector design, choice of radionuclides and associated radiochemistry. Dosimetry estimation, and the assessment of mechanisms to increase tumor uptake while reducing off-target exposure are discussed.
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Affiliation(s)
- Cyprine Neba Funeh
- Laboratory for In Vivo Cellular and Molecular Imaging, Department of Medical Imaging, Vrije Universiteit Brussel, Laarbeeklaan 103/K.001, 1090 Brussels, Belgium
| | - Jessica Bridoux
- Laboratory for In Vivo Cellular and Molecular Imaging, Department of Medical Imaging, Vrije Universiteit Brussel, Laarbeeklaan 103/K.001, 1090 Brussels, Belgium
| | - Thomas Ertveldt
- Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, 1090 Brussels, Belgium
| | - Timo W M De Groof
- Laboratory for In Vivo Cellular and Molecular Imaging, Department of Medical Imaging, Vrije Universiteit Brussel, Laarbeeklaan 103/K.001, 1090 Brussels, Belgium
| | - Dora Mugoli Chigoho
- Laboratory for In Vivo Cellular and Molecular Imaging, Department of Medical Imaging, Vrije Universiteit Brussel, Laarbeeklaan 103/K.001, 1090 Brussels, Belgium
| | - Parinaz Asiabi
- Laboratory for In Vivo Cellular and Molecular Imaging, Department of Medical Imaging, Vrije Universiteit Brussel, Laarbeeklaan 103/K.001, 1090 Brussels, Belgium
| | - Peter Covens
- Laboratory for In Vivo Cellular and Molecular Imaging, Department of Medical Imaging, Vrije Universiteit Brussel, Laarbeeklaan 103/K.001, 1090 Brussels, Belgium
| | - Matthias D'Huyvetter
- Laboratory for In Vivo Cellular and Molecular Imaging, Department of Medical Imaging, Vrije Universiteit Brussel, Laarbeeklaan 103/K.001, 1090 Brussels, Belgium
| | - Nick Devoogdt
- Laboratory for In Vivo Cellular and Molecular Imaging, Department of Medical Imaging, Vrije Universiteit Brussel, Laarbeeklaan 103/K.001, 1090 Brussels, Belgium
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Otani T, Ikushima H, Bando Y, Yamashita M, Kuwahara K, Otsuka H, Kondo K, Miyoshi H. Early Prediction of Radiotherapeutic Efficacy in a Mouse Model of Non-Small Cell Lung Carcinoma Using 18F-FLT and 18F-FDG PET/CT. THE JOURNAL OF MEDICAL INVESTIGATION 2023; 70:361-368. [PMID: 37940520 DOI: 10.2152/jmi.70.361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
This study investigated the usefulness of [18F]-3'-deoxy-3'-fluorothymidine (18F-FLT) and [18F]-fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) imaging for predicting the therapeutic efficacy of non-small cell lung cancer (NSCLC) irradiation at an early stage after radiation treatment. Mice were xenografted with the human lung adenocarcinoma line A549 or large cell lung cancer line FT821. Tumour uptake of 18F-FLT and 18F-FDG was imaged using PET/CT before and 1 week after irradiation. In A549 tumours, 18F-FLT uptake was significantly decreased, and 18F-FDG uptake was unchanged post-irradiation compared with pre-irradiation. In FT821 tumours, uptake of both 18F-FLT and 18F-FDG uptake was substantially decreased post-irradiation compared with pre-irradiation. In both xenografts, tumour volumes in the irradiated groups were significantly decreased compared with those in the control group. 18F-FLT is expected to contribute to individual NSCLC therapy because it accurately evaluates the decrease in tumour activity that cannot be captured by 18F-FDG. 18F-FDG may be useful for evaluating surviving cells without being affected by the inflammatory reaction at an extremely early stage, approximately 1 week after irradiation. Combined use of 18F-FLT and 18F-FDG PET/CT imaging may increase the accurate prediction of radiotherapy efficacy, which may lead to improved patient outcomes and minimally invasive personalised therapy. J. Med. Invest. 70 : 361-368, August, 2023.
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Affiliation(s)
- Tamaki Otani
- Advance Radiation Research, Education, and Management Center, Tokushima University, Tokushima, Japan
| | - Hitoshi Ikushima
- Department of Therapeutic Radiology, Institute of Biomedical Science, Tokushima University, Tokushima, Japan
| | - Yoshimi Bando
- Department of Pathology and Laboratory Medicine, Institute of Biomedical Science, Tokushima University, Tokushima, Japan
| | - Michiko Yamashita
- Department of Analytical Pathology, Institute of Biomedical Science, Tokushima University, Tokushima, Japan
| | - Kenmei Kuwahara
- Faculty of Health Science, Tokushima University Graduate School of Medicine, Tokushima University, Tokushima, Japan
| | - Hideki Otsuka
- Department of Medical Imaging/Nuclear Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan
| | - Kazuya Kondo
- Department of Oncological Medical Services, Institute of Biomedical Science, Tokushima University, Tokushima, Japan
| | - Hirokazu Miyoshi
- Advance Radiation Research, Education, and Management Center, Tokushima University, Tokushima, Japan
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PET/CT Evaluation of the Effect of Allogeneic Hematopoietic Stem Cell Transplantation in the Treatment of T-Cell Lymphoblastic Lymphoma. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:6057017. [PMID: 36072622 PMCID: PMC9398827 DOI: 10.1155/2022/6057017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/18/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022]
Abstract
The aim of this study was to investigate the clinical value of positron emission tomography/computerized tomography scanning (PET/CT) in the evaluation of the effect of allogeneic hematopoietic stem cell transplantation in the treatment of T lymphoblastic lymphoma. 12 relevant research articles were collected through layer-by-layer screening in large databases such as Pubmed, Baidu Scholar, and China How Net, and analyzed and summarized using indicators such as progression-free survival (PFS), overall survival (OS), hazard ratio (HR), maximum standardized uptake value (SUV max), total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), elevated lactate dehydrogenase (LDH), and β2-microglobulin (β2-MG). The results showed that before treatment, 18F-FDG PET/CT baseline diagnosis could accurately stage the patients; during treatment, 18F-FDG PET/CT detection could provide effective treatment information; and after treatment, complications were found during 18F-FDG PET/CT detection. In summary, 18F-FDG PET/CT can monitor and evaluate treatment prognosis at baseline, middle, and late stages, and 18F-FDG PET/CT has become an indispensable and important examination technique in clinical work.
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7
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Yin X, Liao H, Yun H, Lin N, Li S, Xiang Y, Ma X. Artificial intelligence-based prediction of clinical outcome in immunotherapy and targeted therapy of lung cancer. Semin Cancer Biol 2022; 86:146-159. [PMID: 35963564 DOI: 10.1016/j.semcancer.2022.08.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/06/2022] [Accepted: 08/08/2022] [Indexed: 11/26/2022]
Abstract
Lung cancer accounts for the main proportion of malignancy-related deaths and most patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have great advances in application in clinics to treat lung cancer patients, yet the efficacy is unstable. The response rate of these therapies varies among patients. Some biomarkers have been proposed to predict the outcomes of immunotherapy and targeted therapy, including programmed cell death-ligand 1 (PD-L1) expression and oncogene mutations. Nevertheless, the detection tests are invasive, time-consuming, and have high demands on tumor tissue. The predictive performance of conventional biomarkers is also unsatisfactory. Therefore, novel biomarkers are needed to effectively predict the outcomes of immunotherapy and targeted therapy. The application of artificial intelligence (AI) can be a possible solution, as it has several advantages. AI can help identify features that are unable to be used by humans and perform repetitive tasks. By combining AI methods with radiomics, pathology, genomics, transcriptomics, proteomics, and clinical data, the integrated model has shown predictive value in immunotherapy and targeted therapy, which significantly improves the precision treatment of lung cancer patients. Herein, we reviewed the application of AI in predicting the outcomes of immunotherapy and targeted therapy in lung cancer patients, and discussed the challenges and future directions in this field.
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Affiliation(s)
- Xiaomeng Yin
- Division of Biotherapy, Cancer Center, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China
| | - Hu Liao
- Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China
| | - Hong Yun
- Division of Biotherapy, Cancer Center, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China
| | - Nan Lin
- Division of Biotherapy, Cancer Center, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China
| | - Shen Li
- West China School of Medicine, West China Hospital, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China
| | - Yu Xiang
- Division of Biotherapy, Cancer Center, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China
| | - Xuelei Ma
- Division of Biotherapy, Cancer Center, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China.
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Krarup MMK, Fischer BM, Christensen TN. New PET Tracers: Current Knowledge and Perspectives in Lung Cancer. Semin Nucl Med 2022; 52:781-796. [PMID: 35752465 DOI: 10.1053/j.semnuclmed.2022.05.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 05/04/2022] [Indexed: 11/11/2022]
Abstract
PET/CT with the tracer 2-[18F]fluoro-2-deoxy-D-glucose ([18F]FDG) has improved diagnostic imaging in cancer and is routinely used for diagnosing, staging and treatment planning in lung cancer patients. However, pitfalls of [18F]FDG-PET/CT limit the use in specific settings. Additionally, lung cancer is still the leading cause of cancer associated death and has high risk of recurrence after curative treatment. These circumstances have led to the continuous search for more sensitive and specific PET tracers to optimize lung cancer diagnosis, staging, treatment planning and evaluation. The objective of this review is to present and discuss current knowledge and perspectives of new PET tracers for use in lung cancer. A literature search was performed on PubMed and clinicaltrials.gov, limited to the past decade, excluding case reports, preclinical studies and studies on established tracers such as [18F]FDG and DOTATE. The most relevant papers from the search were evaluated. Several tracers have been developed targeting specific tumor characteristics and hallmarks of cancer. A small number of tracers have been studied extensively and evaluated head-to-head with [18F]FDG-PET/CT, whereas others need further investigation and validation in larger clinical trials. At this moment, none of the tracers can replace [18F]FDG-PET/CT. However, they might serve as supplementary imaging methods to provide more knowledge about biological tumor characteristics and visualize intra- and inter-tumoral heterogeneity.
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Affiliation(s)
- Marie M K Krarup
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Copehagen University Hospital, Copenhagen, Denmark.
| | - Barbara M Fischer
- Department of Clinical Medicine, Faculty of Health, Univeristy of Copenhagen (UCPH), Copenhagen, Denmark; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Tine N Christensen
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Copehagen University Hospital, Copenhagen, Denmark
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Christensen TN, Langer SW, Persson G, Larsen KR, Amtoft AG, Keller SH, Kjaer A, Fischer BM. Impact of [ 18F]FDG-PET and [ 18F]FLT-PET-Parameters in Patients with Suspected Relapse of Irradiated Lung Cancer. Diagnostics (Basel) 2021; 11:diagnostics11020279. [PMID: 33670242 PMCID: PMC7916960 DOI: 10.3390/diagnostics11020279] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/26/2021] [Accepted: 02/07/2021] [Indexed: 12/25/2022] Open
Abstract
Radiation-induced changes may cause a non-malignant high 2-deoxy-2-[18F]fluoro-d-glucose (FDG)-uptake. The 3′-deoxy-3′-[18F]fluorothymidine (FLT)-PET/CT performs better in the differential diagnosis of inflammatory changes and lung lesions with a higher specificity than FDG-PET/CT. We investigated the association between post-radiotherapy FDG-PET-parameters, FLT-PET-parameters, and outcome. Sixty-one patients suspected for having a relapse after definitive radiotherapy for lung cancer were included. All the patients had FDG-PET/CT and FLT-PET/CT. FDG-PET- and FLT-PET-parameters were collected from within the irradiated high-dose volume (HDV) and from recurrent pulmonary lesions. For associations between PET-parameters and relapse status, respectively, the overall survival was analyzed. Thirty patients had a relapse, of these, 16 patients had a relapse within the HDV. FDG-SUVmax and FLT-SUVmax were higher in relapsed HDVs compared with non-relapsed HDVs (median FDG-SUVmax: 12.8 vs. 4.2; p < 0.001; median FLT-SUVmax 3.9 vs. 2.2; p < 0.001). A relapse within HDV had higher FDG-SUVpeak (median FDG-SUVpeak: 7.1 vs. 3.5; p = 0.014) and was larger (median metabolic tumor volume (MTV50%): 2.5 vs. 0.7; 0.014) than the relapsed lesions outside of HDV. The proliferative tumor volume (PTV50%) was prognostic for the overall survival (hazard ratio: 1.07 pr cm3 [1.01–1.13]; p = 0.014) in the univariate analysis, but not in the multivariate analysis. FDG-SUVmax and FLT-SUVmax may be helpful tools for differentiating the relapse from radiation-induced changes, however, they should not be used definitively for relapse detection.
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Affiliation(s)
- Tine N. Christensen
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen Ø, Denmark; (A.G.A.); (S.H.K.); (A.K.); (B.M.F.)
- Cluster for Molecular Imaging, University of Copenhagen, 2200 Copenhagen N, Denmark
- Correspondence:
| | - Seppo W. Langer
- Department of Oncology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen Ø, Denmark;
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen Ø, Denmark;
| | - Gitte Persson
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen Ø, Denmark;
- Department of Oncology, Herlev-Gentofte Hospital, University of Copenhagen, 2730 Herlev, Denmark
| | - Klaus Richter Larsen
- Department of Pulmonary Medicine, Bispebjerg University Hospital, 2400 Copenhagen NV, Denmark;
| | - Annemarie G. Amtoft
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen Ø, Denmark; (A.G.A.); (S.H.K.); (A.K.); (B.M.F.)
| | - Sune H. Keller
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen Ø, Denmark; (A.G.A.); (S.H.K.); (A.K.); (B.M.F.)
| | - Andreas Kjaer
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen Ø, Denmark; (A.G.A.); (S.H.K.); (A.K.); (B.M.F.)
- Cluster for Molecular Imaging, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Barbara Malene Fischer
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen Ø, Denmark; (A.G.A.); (S.H.K.); (A.K.); (B.M.F.)
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen Ø, Denmark;
- The PET Centre, School of Biomedical Engineering and Imaging Science, King’s College London, London SE1 7EH, UK
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